St

Startup School Flashcards

Hacker News

Startup School Flashcards

Nick and I have been going through Startup School working on a site for developer flashcards. We have simultaneously been studying our own flashcards for Startup School. It's been a really easy way to remember what has been going on in the course. I wanted to share in case they are helpful to anyone. Thoughts/feedback are welcomed! https://www.flashcardsfordevelopers.com/collections/5b9ff4c1... Hope you enjoy them. Cheers! Niko

Visit product View on Hacker NewsSep 27, 2018

Actual performance

6points

3comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

2013 Startup School Sketchnotes [pdf]40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2013 Startup School Sketchnotes [pdf]

Zerobase42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup school for founders

A Subreddit for Those of Us Following YC Startup School61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Subreddit for Those of Us Following YC Startup School

Open-Source Parse (Startup School 2014)58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-Source Parse (Startup School 2014)

Startup School OS – A Notion Operating System for Startup School (Free)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup School OS – A Notion Operating System for Startup School (Free)

Startup School OS – Notion Operating System for Startup School (Free)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup School OS – Notion Operating System for Startup School (Free)

Kommit64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flashcards / Spaced Repetition System

Indie Hackers3education

Modquiz17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beyond Flashcards

Indie Hackerscommitment-side-project

Omen30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flashcards for the Discerning Autodidact

Indie Hackers1education

In Paris? Join us to watch Startup School 2013 together32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

In Paris? Join us to watch Startup School 2013 together

Browse all products Analyze your launch